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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Deep geologic repository progress—2025 Update
Editor's note: This article has was originally published in November 2023. It has been updated with new information as of June 2025.
Outside my office, there is a display case filled with rock samples from all over the world. It contains a disk of translucent, orange salt from the Waste Isolation Pilot Plant near Carlsbad, N.M.; a core of white-and-bronze gneiss from the site of the future deep geologic repository in Eurajoki, Finland; several angular chunks of fine-grained, gray claystone from the underground research laboratory at Bure, France; and a piece of coarse-grained granite from the underground research tunnel in Daejeon, South Korea.
Guy Shtotland, Assaf Kolin, Benoit Geslot, Patrick Blaise, Nir Kastin
Nuclear Science and Engineering | Volume 197 | Number 8 | August 2023 | Pages 1733-1742
Technical papers from: PHYSOR 2022 | doi.org/10.1080/00295639.2023.2174761
Articles are hosted by Taylor and Francis Online.
Kinetic neutron parameters are of fundamental importance in the field of nuclear reactor dynamics and control. Moreover, the precursor yield fraction and the neutron generation time for a given nuclear reactor are dependent on the properties of the reactor. Thus, in-pile experiments, such as oscillation experiments and noise experiments, are commonly conducted to measure those values. In this work, a method for determining the kinetic parameters of a reactor along with their covariance data from in-pile experiments is presented. It is performed by combining values of the reactor’s response function obtained from both oscillation and noise experiments over a wide range of frequencies. The method is carried out for the MINERVE zero power reactor (ZPR) using a reanalysis of both oscillation and noise experiments that were conducted in the MINERVE reactor in 2013 and 2014. Moreover, various advantages and disadvantages of performing multiple in-pile experiments and combining their results in order to obtain a single set of kinetic parameters along with their covariance data are considered. Some suggestions for the design of such in-pile experiments are also discussed.